openai/consistency_models

Health v2 · maintenance only

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Adoption not part of the score

6486 stars · 432 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Official PyTorch implementation of Consistency Models, a generative image model family from OpenAI supporting consistency distillation, consistency training, and one- or few-step sampling. It includes pre-trained checkpoints for ImageNet-64 and LSUN 256 experiments.

Use cases

• generate images in one or few steps with consistency models
• run consistency distillation on diffusion models
• train consistency models from scratch
• download and sample from pretrained ImageNet and LSUN checkpoints
• reproduce research experiments on generative image models

When to choose

• you want fast few-step image generation without iterative diffusion sampling
• you need the official reference implementation for research on consistency models
• you want pretrained EDM/CD/CT checkpoints for ImageNet-64 or LSUN

When to avoid

• you need a production-ready image generation service or API
• you want to generate high-resolution or text-to-image outputs beyond the released 64/256px models
• you need actively maintained code with recent updates

Facets

library · maturity maintenance

machine-learning deep-learning image-processing data-generation deep-learning machine-learning image-processing artificial-intelligence python diffusion-models generative-models pytorch consistency-distillation consistency-training image-generation research-code pretrained-models gpu docker linux

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